R. Anand – författare

The right to individual and collective self-defense in international law and politics has always been a controversial issue. Using the example of how the US employs self-defense against Iraq, this book uncovers new dimensions, which lead to innovative and practical strategies and analysis.

A Microgrid Cluster Management and Internet-of-Things Framework: Fundamentals, Protocols, and Case Studies presents a cutting-edge guide on leveraging IoT technologies to optimize renewable energy integration through microgrid clusters. The book begins by detailing the fundamental aspects of microgrid clusters, encompassing design, control, and optimization. This comprehensive grounding prepares readers for the exploration of IoT integration to harness big data analytics for energy efficiency, power management, fault monitoring, and cybersecurity. The book further delves into the meticulous analysis of protocol selection for effective operation and control.It covers wired protocols such as Modbus, Profibus, and Ethernet, wireless protocols like Zigbee, Wi-Fi, and Bluetooth, and IoT protocols including CoAP, MQTT, and HTTP. By outlining an adaptable framework for interdisciplinary opportunities, this book guides researchers and engineers in creating the flexible, renewable grid of the future.Includes clearly structured steps from the fundamentals of microgrid clusters to complex applicationsProvides technical protocols for data exchange, cybersecurity, and signal conditioningPresents dedicated case studies to support readers taking the next steps in their own work

The right to individual and collective self-defense in international law and politics has always been a controversial issue. Using the example of how the US employs self-defense against Iraq, this book uncovers new dimensions, which lead to innovative and practical strategies and analysis.

This book covers challenges and solutions in establishing Industry 4.0 standards for Internet of Things. The concept of digital twin and complexity in data analytics for predictive maintenance and fault prediction is also covered. It also concentrates on predictive maintenance and predictive failures.